Material Informatics: A brief overview
Advances in computational methodologies and the exponential augmentation in PC speed have made it possible to computationally make gigantic databases of material properties. Such high-throughput preparing enables experts to rapidly check countless up-and-comer materials to recognize those that hold the most assurance for creative applications. Materials organizers can analyze the data to recognize huge substance and essential examples, giving new bits of learning into how to make materials with needed properties. Read more
Become an Award Winning Data Scientist by Entering the International Data Science Awards
The Data Science Foundation, Chartered Institute of Public Relations and the AI & Big Data Expo World Series have teamed up to promote the inaugural International Data Science Awards and confirm that the award winners will be announced at the AI & Big Data Expo in the Santa Clara Convention Center in San Francisco.Entrants do not have to attend the event in North America to receive a trophy. Once the winners have been announced, the trophies will be shipped worldwide. Read more
AI & Big Data Expo North America & International Data Science Awards
We are pleased to make two announcements relating to the AI & Big Data Expo North America being held at the Santa Clara Convention Center, Silicon Valley on 13 – 14 November 2019. First the winners of the inaugural International Data Science Awards - supported by the Chartered Institute of Public Relations' AI Panel and the AI & Big Data World Series, will be revealed at the event. Second Chris Tomlinson, Data Science Foundation Director is chairing the Enterprise AI Conference. Read more
O'Reilly AI Conference 14-17 October, 2019 London, UK
AI is changing fast. To harness its power you need to see where the opportunities will strike—and get there first. Don’t miss the most promising developments, emerging technologies, and profitable use cases at the O’Reilly AI Conference in London. Read more
Is this the year of the AI Assistant?
At the AI Assistant Summit in London this September 19 - 20, experts in the creation and application of these virtual assistants will come together to share the most cutting edge progressions in the space. The first day of the summit will see 600 attendees across 3 tracks learn about the current landscape of AI assistants and the latest research advancements, and the second day will hone in on industry applications, startup showcase & exploring the next generation of AI assistants. Read more
Cheat Sheet of Data Science
The term ‘big data’ mainly refers to data content with high volume, variety, and velocity. The glitch is, traditional database technologies do not go tandem with the handling of big data. Therefore, the introduction of innovative engineered solutions is in huge demand that can handle the big data efficiently. Read more
Explainability in Machine Learning / Artificial Intelligence
The Allen Institute for Artificial Intelligence is reaching out to members of the Data Science Foundation and their wider community and asking for assistance with our research into Explainability in Machine Learning / Artificial Intelligence and would request assistance by participation by completing this survey: Read more
Is Design Thinking PepsiCo’s Secret to Market Dominance?
Under the leadership of Indra Nooyi, PepsiCo prioritised user-specific solutions, designed products that were more human-centric and earned the company record-breaking revenues apart from accolades. Read more
9 Interesting Applications of Data Science in the E-commerce industry
There is no doubt that as of today, companies all over the world, big or small, are incorporating data science and its applications within their business in one way or another. The importance of data in today’s world has reached new heights so much so that companies are taking business decisions only after a thorough analysis of relevant data. This has especially found an important place in the e-commerce and retail industry. They can predict the purchases, profits, losses and even nudge customers into buying additional products on the basis of their behaviour. Organizations also use purchase data to create psychological portraits of a customer to market products to them and use it to drive customer loyalty and thereby more revenues. Read more
R vs Python
It is a common challenge for a data scientist to decide whether to use Python or R for data analysis. While R was purely developed for statisticians, making it portray analysis a specific advantage for visualizing data, Python stands out with its general-purpose characteristics and the fact that it has a very regular syntax. Based on these differences, it is necessary to compare the two languages Read more
Diagnostic research: a quick overview
This paper examines how diagnostic research is undertaken using various statistical tools. It highlights the difference between a diagnostic test and a screening before evaluating a diagnostic test. The paper then presents statistical methods and classifiers.
SURVIVAL PARAMETRIC MODELS TO ESTIMATE THE FACTORS OF UNDER-FIVE CHILD MORTALITY
Exploring parametric survival models in daily practice of child mortality research is challenging. It may be due to many reasons including popularity of Cox regression and lack of knowledge about how to perform it. This paper provides the application of parametric survival models by using available R software with illustration.
JADE AGENT TOOL: OVERVIEW AND ITS PACKAGES
JADE (Java Agent Development Framework) is a Software system which is totally planned and coded in the Java language. The reason for the structure is to make usage of multi-agent systems simpler, by utilizing a middleware which is consistent with the FIPA details and utilizing a gathering of implicit devices.
Data Science : Brief understanding of Typical Project Life-cycle, Tools, Techniques and skills
Every step in the lifecycle of a data science project depends on various data scientist skills and data science tools. The typical lifecycle of a data science project involves jumping back and forth among various interdependent data science tasks using variety of tools, techniques (mostly statistical methods and formula), programming etc. Let us try to see what could be a typical life cycle.
An Overview of Agent Based Intelligent Systems and Its Tools
In an Artificial Intelligence world, Agent-based technology is one of the most vibrant and important areas of R&D, emerging in Information Technology in the industry in recent years. Intelligent Agent (IA) is an autonomous entity which observes, analyses and responds to an environment appropriate to achieve the expected objective. The IA posses several categories such as Coordination, Integration,
Graph Analytics and Big Data
Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batch-oriented approach of traditional approaches to data warehousing.
PyCon India is the annual gathering of Pythonistas, run by the Indian Python community, to foster adoption of the Python programming language. PyCon India 2019, will take place in Chennai, between Oct 12 and 15. This is 11th edition of the conference and about 1200 people are expected to participate in this event, from all over the country. Source : https://in.pycon.org/2019/#READ MORE
The Future Scope of Java Programmer in India is great they can earn more money but it all depends on their skill. When we talk about programming languages and technologies, Java is the most popular platform which is used by the number of companies to secure their data. Java is used to develop several applications for the systems as well as embedded devices like laptops, mobiles, tablets and many more. It easy to learn and understand and easy to share on a server. Starting your career as a java developer can lead you to some of the best practices that have been dominant currently in the IT industry, like Pega, salesforce Java has good for career growth. If you want to learn JAVA visit: https://www.cetpainfotech.com/technology/java-trainingREAD MORE
Excellent programme with excelkebt learning. Would love to attend on the free pass to get to grips with the skills gap between theory and practice - and the need to upskill. Best, KerryREAD MORE
Very nicely written. Merchandising section could have been elaborated with Space Optimization, which is gaining momentum these days.Thanks.READ MORE
Very nicely explained.READ MORE
Do you enjoy statistics and programming? Are you currently studying math and statistical learning (such as machine learning)? Are you excited to learn the latest technologies and techniques in data science? If your answers are more than just one yes, your career path may take you to data analysis very soon. Many students in programming and statistics can find a very remunerative career in data science, as it is an ever-growing field with a lot of potential. But right from the start, you have to ask yourself how you are going to approach this discipline and how you are going to tackle the programming challenges ahead of you. And here comes the question that all data scientists had to answer at the very beginning of their careers: should I learn Python or R programming to start working on data analysis? This is a tough question since Python and R are both versatile programming languages in data statistics. They were born in the same period (the late 80s or the start of the 90s) and botREAD MORE
Best Hr Generalist Training in Delhi We all are aware that today companies prefer only those candidates in HR who have good practical knowledge. So if you are looking for best institute for Hr Generalist training in Delhi then CETPA is the first choice of students from here they get the best placement in the best company and you can stand in full confidence at any circumstances. This is a Job oriented HR Generalist Training which is designed to put In-depth knowledge and experience in a candidate for practical handling of core HR responsibilities. For more visit: https://www.cetpainfotech.com/technology/hr-generalist-trainingREAD MORE
Good article.READ MORE
Big data is everywhere. Making good use of big data analysis will improve the quality of work.READ MORE
Thank you to everyone that has filled in the survey or shared my request! 35 valuable opinions have been gathered; 22 came from a corporate environment and 13 are from researchers and academics. I will now close down the survey. Thanks again for your help!READ MORE
Good to know about this. Thanks, Chris, for bringing it up. I like to have more details so that the methodology can be applied in our day-to-day machine learning endeavours.READ MORE
Promotion of advanced technology requires training of target customers to enable them to understand technology, preferably with examples.READ MORE
These tools are now impacting so many parts of our everyday life, from healthcare to criminal justice to education to hiring, and it’s happening simultaneously, says Crawford. That raises very serious implications about how people will be affected.READ MORE
Effective visual rendering of real-world objects in graphical or animated form depends upon accurate knowledge of how light interacts with, and is reflected by, the material in question, so that its behavior can be accurately recreated.READ MORE
Google says it has made it possible for a smartphone to interpret and "read aloud" sign language. The tech firm has not made an app of its own but has published algorithms which it hopes developers will use to make their own apps.READ MORE
Artificial Intelligence (AI) systems are becoming smarter every day, beating world champions in games like Go, identifying tumours in medical scans better than human radiologists, and increasing the efficiency of electricity-hungry data centres. Some economists are comparing the transformative potential of AI with other “general purpose technologies” such as the steam engine, electricity or the transistor.READ MORE
Celect's cloud analytics platform enables retailers to optimize inventory across channels. Nike plans to use that data science knowhow for its Consumer Direct Offense strategy.READ MORE
The 7th Data Science Summit, organized by the Data Science Foundation will take place in Kolkata, India in September 2019. The Summit will provide a unique insight into creating a data-driven culture in organizations, and the benefits of using data and analytics to drive the decision-making process.READ MORE
Tesla founder Elon Musk has launched tech startup Neuralink to build implants that connect human brains with computer interfaces via artificial intelligence.READ MORE
Get 40% off our London summit with discount code MPAIAREAD MORE
Police turned to the UK's database of more than 13 million child abuse images to help develop an abuse-detecting algorithmREAD MORE
AI has definitively beaten humans at another of our favorite games. A poker bot, designed by researchers from Facebook’s AI lab and Carnegie Mellon University, has bested some of the world’s top players in a series of games of six-person no-limit Texas Hold ‘em poker.READ MORE
It’s the smartest piece of glass in the world. Zongfu Yu at the University of Wisconsin–Madison and his colleagues have created a glass artificial intelligence that uses light to recognise and distinguish between images.READ MORE
MIT has created a new AI programming language that they say goes beyond deep learning.READ MORE
With today’s widespread focus on artificial intelligence, it is hard to imagine that this is not the first time AI has held a prominent place in the zeitgeistREAD MORE
The money will help Atlanta University Center Consortium Data Science Initiative improve education in healthcare analytics at historically black colleges and universities.READ MORE
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